Global sea-level budget and ocean-mass budget, with a focus on advanced data products and uncertainty characterisation

International audience Studies of the global sea-level budget (SLB) and the global ocean-mass budget (OMB) are essential to assess the reliability of our knowledge of sea-level change and its contributors. Here we present datasets for times series of the SLB and OMB elements developed in the framewo...

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Published in:Earth System Science Data
Main Authors: Horwath, Martin, Gutknecht, Benjamin D., Cazenave, Anny, Kulaiappan Palanisamy, Hindumathi, Marti, Florence, Marzeion, Ben, Paul, Frank, Le Bris, Raymond, Hogg, Anna E., Otosaka, Inès, Shepherd, Andrew, Döll, Petra, Cáceres, Denise, Müller Schmied, Hannes, Johannessen, Johnny A., Øie Nilsen, Jan Even, Raj, Roshin P., Forsberg, René, Sandberg Sørensen, Louise, Barletta, Valentina R., Simonsen, Sebastian B., Knudsen, Per, Baltazar Andersen, Ole, Ranndal, Heidi, Rose, Stine K., Merchant, Christopher J., Macintosh, Claire R., von Schuckmann, Karina, Novotny, Kristin, Groh, Andreas, Restano, Marco, Benveniste, Jérôme
Other Authors: Laboratoire d'études en Géophysique et océanographie spatiales (LEGOS), Institut de Recherche pour le Développement (IRD)-Université Toulouse III - Paul Sabatier (UT3), Université de Toulouse (UT)-Université de Toulouse (UT)-Institut national des sciences de l'Univers (INSU - CNRS)-Observatoire Midi-Pyrénées (OMP), Université de Toulouse (UT)-Université de Toulouse (UT)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National d'Études Spatiales Toulouse (CNES)-Centre National de la Recherche Scientifique (CNRS)-Météo-France-Institut de Recherche pour le Développement (IRD)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National d'Études Spatiales Toulouse (CNES)-Centre National de la Recherche Scientifique (CNRS)-Météo-France-Centre National de la Recherche Scientifique (CNRS)
Format: Article in Journal/Newspaper
Language:English
Published: HAL CCSD 2022
Subjects:
Online Access:https://insu.hal.science/insu-03671382
https://insu.hal.science/insu-03671382/document
https://insu.hal.science/insu-03671382/file/essd-14-411-2022.pdf
https://doi.org/10.5194/essd-14-411-2022
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record_format openpolar
institution Open Polar
collection Météo-France: HAL
op_collection_id ftmeteofrance
language English
topic [SDU]Sciences of the Universe [physics]
[SDU.STU.OC]Sciences of the Universe [physics]/Earth Sciences/Oceanography
spellingShingle [SDU]Sciences of the Universe [physics]
[SDU.STU.OC]Sciences of the Universe [physics]/Earth Sciences/Oceanography
Horwath, Martin
Gutknecht, Benjamin D.
Cazenave, Anny
Kulaiappan Palanisamy, Hindumathi
Marti, Florence
Marzeion, Ben
Paul, Frank
Le Bris, Raymond
Hogg, Anna E.
Otosaka, Inès
Shepherd, Andrew
Döll, Petra
Cáceres, Denise
Müller Schmied, Hannes
Johannessen, Johnny A.
Øie Nilsen, Jan Even
Raj, Roshin P.
Forsberg, René
Sandberg Sørensen, Louise
Barletta, Valentina R.
Simonsen, Sebastian B.
Knudsen, Per
Baltazar Andersen, Ole
Ranndal, Heidi
Rose, Stine K.
Merchant, Christopher J.
Macintosh, Claire R.
von Schuckmann, Karina
Novotny, Kristin
Groh, Andreas
Restano, Marco
Benveniste, Jérôme
Global sea-level budget and ocean-mass budget, with a focus on advanced data products and uncertainty characterisation
topic_facet [SDU]Sciences of the Universe [physics]
[SDU.STU.OC]Sciences of the Universe [physics]/Earth Sciences/Oceanography
description International audience Studies of the global sea-level budget (SLB) and the global ocean-mass budget (OMB) are essential to assess the reliability of our knowledge of sea-level change and its contributors. Here we present datasets for times series of the SLB and OMB elements developed in the framework of ESA's Climate Change Initiative. We use these datasets to assess the SLB and the OMB simultaneously, utilising a consistent framework of uncertainty characterisation. The time series, given at monthly sampling and available at https://doi.org/10.5285/17c2ce31784048de93996275ee976fff (Horwath et al., 2021), include global mean sea-level (GMSL) anomalies from satellite altimetry, the global mean steric component from Argo drifter data with incorporation of sea surface temperature data, the ocean-mass component from Gravity Recovery and Climate Experiment (GRACE) satellite gravimetry, the contribution from global glacier mass changes assessed by a global glacier model, the contribution from Greenland Ice Sheet and Antarctic Ice Sheet mass changes assessed by satellite radar altimetry and by GRACE, and the contribution from land water storage anomalies assessed by the global hydrological model WaterGAP (Water Global Assessment and Prognosis). Over the period January 1993-December 2016 (P1, covered by the satellite altimetry records), the mean rate (linear trend) of GMSL is 3.05 ± 0.24 mm yr −1 . The steric component is 1.15 ± 0.12 mm yr −1 (38 % of the GMSL trend), and the mass component is 1.75 ± 0.12 mm yr −1 (57 %). The mass component includes 0.64 ± 0.03 mm yr −1 (21 % of the GMSL trend) from glaciers outside Greenland and Antarctica, 0.60 ± 0.04 mm yr −1 (20 %) from Greenland, 0.19 ± 0.04 mm yr −1 (6 %) from Antarctica, and 0.32 ± 0.10 mm yr −1 (10 %) from changes of land water storage. In the period January 2003-August 2016 (P2, covered by GRACE and the Argo drifter system), GMSL rise is higher than in P1 at 3.64 ± 0.26 mm yr −1 . This is due to an increase of the mass contributions, now about 2.40 ± 0.13 mm ...
author2 Laboratoire d'études en Géophysique et océanographie spatiales (LEGOS)
Institut de Recherche pour le Développement (IRD)-Université Toulouse III - Paul Sabatier (UT3)
Université de Toulouse (UT)-Université de Toulouse (UT)-Institut national des sciences de l'Univers (INSU - CNRS)-Observatoire Midi-Pyrénées (OMP)
Université de Toulouse (UT)-Université de Toulouse (UT)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National d'Études Spatiales Toulouse (CNES)-Centre National de la Recherche Scientifique (CNRS)-Météo-France-Institut de Recherche pour le Développement (IRD)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National d'Études Spatiales Toulouse (CNES)-Centre National de la Recherche Scientifique (CNRS)-Météo-France-Centre National de la Recherche Scientifique (CNRS)
format Article in Journal/Newspaper
author Horwath, Martin
Gutknecht, Benjamin D.
Cazenave, Anny
Kulaiappan Palanisamy, Hindumathi
Marti, Florence
Marzeion, Ben
Paul, Frank
Le Bris, Raymond
Hogg, Anna E.
Otosaka, Inès
Shepherd, Andrew
Döll, Petra
Cáceres, Denise
Müller Schmied, Hannes
Johannessen, Johnny A.
Øie Nilsen, Jan Even
Raj, Roshin P.
Forsberg, René
Sandberg Sørensen, Louise
Barletta, Valentina R.
Simonsen, Sebastian B.
Knudsen, Per
Baltazar Andersen, Ole
Ranndal, Heidi
Rose, Stine K.
Merchant, Christopher J.
Macintosh, Claire R.
von Schuckmann, Karina
Novotny, Kristin
Groh, Andreas
Restano, Marco
Benveniste, Jérôme
author_facet Horwath, Martin
Gutknecht, Benjamin D.
Cazenave, Anny
Kulaiappan Palanisamy, Hindumathi
Marti, Florence
Marzeion, Ben
Paul, Frank
Le Bris, Raymond
Hogg, Anna E.
Otosaka, Inès
Shepherd, Andrew
Döll, Petra
Cáceres, Denise
Müller Schmied, Hannes
Johannessen, Johnny A.
Øie Nilsen, Jan Even
Raj, Roshin P.
Forsberg, René
Sandberg Sørensen, Louise
Barletta, Valentina R.
Simonsen, Sebastian B.
Knudsen, Per
Baltazar Andersen, Ole
Ranndal, Heidi
Rose, Stine K.
Merchant, Christopher J.
Macintosh, Claire R.
von Schuckmann, Karina
Novotny, Kristin
Groh, Andreas
Restano, Marco
Benveniste, Jérôme
author_sort Horwath, Martin
title Global sea-level budget and ocean-mass budget, with a focus on advanced data products and uncertainty characterisation
title_short Global sea-level budget and ocean-mass budget, with a focus on advanced data products and uncertainty characterisation
title_full Global sea-level budget and ocean-mass budget, with a focus on advanced data products and uncertainty characterisation
title_fullStr Global sea-level budget and ocean-mass budget, with a focus on advanced data products and uncertainty characterisation
title_full_unstemmed Global sea-level budget and ocean-mass budget, with a focus on advanced data products and uncertainty characterisation
title_sort global sea-level budget and ocean-mass budget, with a focus on advanced data products and uncertainty characterisation
publisher HAL CCSD
publishDate 2022
url https://insu.hal.science/insu-03671382
https://insu.hal.science/insu-03671382/document
https://insu.hal.science/insu-03671382/file/essd-14-411-2022.pdf
https://doi.org/10.5194/essd-14-411-2022
geographic Antarctic
Greenland
geographic_facet Antarctic
Greenland
genre Antarc*
Antarctic
Antarctica
glacier
Greenland
Ice Sheet
genre_facet Antarc*
Antarctic
Antarctica
glacier
Greenland
Ice Sheet
op_source ISSN: 1866-3508
Earth System Science Data
https://insu.hal.science/insu-03671382
Earth System Science Data, 2022, 14, pp.411-447. ⟨10.5194/essd-14-411-2022⟩
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doi:10.5194/essd-14-411-2022
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spelling ftmeteofrance:oai:HAL:insu-03671382v1 2023-12-17T10:21:56+01:00 Global sea-level budget and ocean-mass budget, with a focus on advanced data products and uncertainty characterisation Horwath, Martin Gutknecht, Benjamin D. Cazenave, Anny Kulaiappan Palanisamy, Hindumathi Marti, Florence Marzeion, Ben Paul, Frank Le Bris, Raymond Hogg, Anna E. Otosaka, Inès Shepherd, Andrew Döll, Petra Cáceres, Denise Müller Schmied, Hannes Johannessen, Johnny A. Øie Nilsen, Jan Even Raj, Roshin P. Forsberg, René Sandberg Sørensen, Louise Barletta, Valentina R. Simonsen, Sebastian B. Knudsen, Per Baltazar Andersen, Ole Ranndal, Heidi Rose, Stine K. Merchant, Christopher J. Macintosh, Claire R. von Schuckmann, Karina Novotny, Kristin Groh, Andreas Restano, Marco Benveniste, Jérôme Laboratoire d'études en Géophysique et océanographie spatiales (LEGOS) Institut de Recherche pour le Développement (IRD)-Université Toulouse III - Paul Sabatier (UT3) Université de Toulouse (UT)-Université de Toulouse (UT)-Institut national des sciences de l'Univers (INSU - CNRS)-Observatoire Midi-Pyrénées (OMP) Université de Toulouse (UT)-Université de Toulouse (UT)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National d'Études Spatiales Toulouse (CNES)-Centre National de la Recherche Scientifique (CNRS)-Météo-France-Institut de Recherche pour le Développement (IRD)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National d'Études Spatiales Toulouse (CNES)-Centre National de la Recherche Scientifique (CNRS)-Météo-France-Centre National de la Recherche Scientifique (CNRS) 2022 https://insu.hal.science/insu-03671382 https://insu.hal.science/insu-03671382/document https://insu.hal.science/insu-03671382/file/essd-14-411-2022.pdf https://doi.org/10.5194/essd-14-411-2022 en eng HAL CCSD Copernicus Publications info:eu-repo/semantics/altIdentifier/doi/10.5194/essd-14-411-2022 insu-03671382 https://insu.hal.science/insu-03671382 https://insu.hal.science/insu-03671382/document https://insu.hal.science/insu-03671382/file/essd-14-411-2022.pdf BIBCODE: 2022ESSD.14.411H doi:10.5194/essd-14-411-2022 http://creativecommons.org/licenses/by/ info:eu-repo/semantics/OpenAccess ISSN: 1866-3508 Earth System Science Data https://insu.hal.science/insu-03671382 Earth System Science Data, 2022, 14, pp.411-447. ⟨10.5194/essd-14-411-2022⟩ [SDU]Sciences of the Universe [physics] [SDU.STU.OC]Sciences of the Universe [physics]/Earth Sciences/Oceanography info:eu-repo/semantics/article Journal articles 2022 ftmeteofrance https://doi.org/10.5194/essd-14-411-2022 2023-11-21T23:40:54Z International audience Studies of the global sea-level budget (SLB) and the global ocean-mass budget (OMB) are essential to assess the reliability of our knowledge of sea-level change and its contributors. Here we present datasets for times series of the SLB and OMB elements developed in the framework of ESA's Climate Change Initiative. We use these datasets to assess the SLB and the OMB simultaneously, utilising a consistent framework of uncertainty characterisation. The time series, given at monthly sampling and available at https://doi.org/10.5285/17c2ce31784048de93996275ee976fff (Horwath et al., 2021), include global mean sea-level (GMSL) anomalies from satellite altimetry, the global mean steric component from Argo drifter data with incorporation of sea surface temperature data, the ocean-mass component from Gravity Recovery and Climate Experiment (GRACE) satellite gravimetry, the contribution from global glacier mass changes assessed by a global glacier model, the contribution from Greenland Ice Sheet and Antarctic Ice Sheet mass changes assessed by satellite radar altimetry and by GRACE, and the contribution from land water storage anomalies assessed by the global hydrological model WaterGAP (Water Global Assessment and Prognosis). Over the period January 1993-December 2016 (P1, covered by the satellite altimetry records), the mean rate (linear trend) of GMSL is 3.05 ± 0.24 mm yr −1 . The steric component is 1.15 ± 0.12 mm yr −1 (38 % of the GMSL trend), and the mass component is 1.75 ± 0.12 mm yr −1 (57 %). The mass component includes 0.64 ± 0.03 mm yr −1 (21 % of the GMSL trend) from glaciers outside Greenland and Antarctica, 0.60 ± 0.04 mm yr −1 (20 %) from Greenland, 0.19 ± 0.04 mm yr −1 (6 %) from Antarctica, and 0.32 ± 0.10 mm yr −1 (10 %) from changes of land water storage. In the period January 2003-August 2016 (P2, covered by GRACE and the Argo drifter system), GMSL rise is higher than in P1 at 3.64 ± 0.26 mm yr −1 . This is due to an increase of the mass contributions, now about 2.40 ± 0.13 mm ... Article in Journal/Newspaper Antarc* Antarctic Antarctica glacier Greenland Ice Sheet Météo-France: HAL Antarctic Greenland Earth System Science Data 14 2 411 447